URI: 
       tMerge branch 'master' of https://github.com/anders-dc/sphere Merging documentation updates - sphere - GPU-based 3D discrete element method algorithm with optional fluid coupling
  HTML git clone git://src.adamsgaard.dk/sphere
   DIR Log
   DIR Files
   DIR Refs
   DIR LICENSE
       ---
   DIR commit 1ed09491efdc53a1086a8ce35f460f781c2a91ea
   DIR parent f381d1df7e30f25481ef16e9d920e7707aaafc39
  HTML Author: Anders Damsgaard <adc@geo.au.dk>
       Date:   Sat, 26 Jan 2013 12:11:08 +0100
       
       Merge branch 'master' of https://github.com/anders-dc/sphere
       Merging documentation updates
       
       Diffstat:
         M README.rst                          |      34 ++++++++++++++++++++-----------
       
       1 file changed, 22 insertions(+), 12 deletions(-)
       ---
   DIR diff --git a/README.rst b/README.rst
       t@@ -11,13 +11,17 @@ See the ``doc/`` folder for general reference.
        Requirements
        ------------
        The build requirements are:
       -  * A Nvidia CUDA-supported version of Linux or Mac OS X (see the `CUDA toolkit release notes <http://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html>`_ for more information)
       +  * A Nvidia CUDA-supported version of Linux or Mac OS X (see the `CUDA toolkit 
       +    release notes <http://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html>`_ 
       +    for more information)
          * `CMake <http://cmake.org>`_, version 2.8 or higher
       -  * A C/C++ compiler toolkit, e.g. the `GNU Compiler Collection <http://gcc.gnu.org/>`_ (GCC)
       +  * A C/C++ compiler toolkit, e.g. the `GNU Compiler Collection 
       +    <http://gcc.gnu.org/>`_ (GCC)
          * The `Nvidia CUDA toolkit and SDK <https://developer.nvidia.com/cuda-downloads>`_
        
        The runtime requirements are:
       -  * A `CUDA-enabled GPU <http://www.nvidia.com/object/cuda_gpus.html>`_ with compute capability 1.1 or greater.
       +  * A `CUDA-enabled GPU <http://www.nvidia.com/object/cuda_gpus.html>`_ 
       +    with compute capability 1.1 or greater.
          * A Nvidia CUDA-enabled GPU and device driver
        
        Optional tools, required for simulation setup and data processing:
       t@@ -34,25 +38,31 @@ Optional tools, required for building the documentation:
        
        Obtaining sphere
        ----------------
       -The best way to keep up to date with subsequent updates, bugfixes
       -and development, is to use the Git version control system.
       -
       -To obtain a local copy, execute:
       -  ``git clone https://github.com/anders-dc/sphere.git``
       +The best way to keep up to date with subsequent updates, bugfixes and 
       +development, is to use the Git version control system. To obtain a local 
       +copy, execute::
       + git clone https://github.com/anders-dc/sphere.git
        
        Build instructions
        ------------------
        Sphere is built using `cmake`, the platform-specific c/c++ compilers,
        and `nvcc` from the cuda toolkit. Execute the following commands from
        the root directory::
       - cmake .
       - make
       + cmake . && make
        
        In some cases the CMake FindCUDA module will have troubles locating the
        CUDA SDK directory, and will complain about `cutil_math.h` not being found.
        
       -In that case, modify the `NVSDKCOMPUTE_ROOT` environment variable in 
       +In that case, modify the ``NVSDKCOMPUTE_ROOT`` environment variable in 
        `INSTALL.sh`, and execute it.
        
        After a successfull installation, the `sphere` executable will be located
       -in the root folder.
       +in the root folder. To make sure that all components are working correctly,
       +execute::
       + make test
       +
       +Updating sphere
       +---------------
       +To update your local version, type the following commands in the sphere root 
       +directory::
       + git pull && cmake . && make